Applied Nonparametric Statistical Methods, Third Edition by Peter Sprent
This book is a practical introduction to statistical techniques called nonpara- metric methods. Using examples, we explain assumptions and demonstrate procedures; theory is kept to a minimum. We show how basic problems are tackled and try to clear up common misapprehensions so as to help both students of statistics meeting the methods for the first time and workers in other fields faced with data needing simple but informative analysis. An analogy between experimenters and car drivers describes our aim. Statistical analyses may be done by following a set of rules without understanding their logical basis, but this has dangers. It is like driving a car with no inkling ofhow the internal combustion engine, the gears, the ignition system, the brakes actually work. Understanding the rudiments helps one get better performance and makesdrivingsafer;appropriate gearchanges become a way to reduce engine stress, prolong engine life, improve fuel economy, minimize wear on brake linings. Knowing how to change the engine oil or replace worn sparking plugs is notessential for adriver, but it will reduce costs. Learning such basics will not make one a fully fledged mechanic, even less an automotive engineer; but it all contributes to more economical and safer driving, alertingone to the dangers ofbald tyres, aleakingexhaust, worn brake linings.-
Practical Statistics for Medical Research
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Statistical Rethinking
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Bayesian Data Analysis
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Introduction to Multivariate Analysis
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Introduction to Probability, Second Edition
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An Introduction to Generalized Linear Models, Second Edition
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The Analysis of Time Series
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Statistics for Technology
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Modelling Survival Data in Medical Research
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Bayesian Data Analysis, Second Edition
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Statistics for Epidemiology
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Problem Solving
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An Introduction to Generalized Linear Models, First Edition
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Epidemiology
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The BUGS Book
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Applied Stochastic Modelling
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Modern Data Science with R
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Statistical Inference
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Statistics in Research and Development
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Modelling Survival Data in Medical Research, Second Edition
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An Introduction to Generalized Linear Models
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Applied Non-Parametric Statistical Methods, Second Edition
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Surrogates
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Statistics in Engineering
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Multivariate Analysis of Variance and Repeated Measures
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Elements of Simulation
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Computer-Aided Multivariate Analysis, Fourth Edition
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Statistics in Human Genetics and Molecular Biology
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Pragmatics of Uncertainty
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Markov Chain Monte Carlo
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Nonparametric Inference
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Foundations of Bayesian Statistics for Data Scientists
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Time Series
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Introduction to Modern Randomization-Based Design and Analysis for Causal Inference
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A Course in Regression and Smoothing Methods
Nigel Smeeton is a Social Statistician at the Centre for Research in Primary and Community Care, University of Hertfordshire, and Visiting Lecturer in the Division of Imaging Sciences and Biomedical Engineering at King's College London. For more than twenty years, he has taught statistics to undergraduate dental and medical students and is currently engaged in the postgraduate teaching of health service staff. His academic work has involved the application of statistical methods to research in stroke, asthma, psychiatry, and adolescent health and behaviour. He has a particular interest in non-parametric statistics, and is co-author of the text Applied Nonparametric Statistical Methods, published by CRC Press.
| SKU | Unavailable |
| ISBN 13 | 9781584881452 |
| ISBN 10 | 1584881453 |
| Title | Applied Nonparametric Statistical Methods, Third Edition |
| Author | Peter Sprent |
| Series | Chapman And Hall Crc Texts In Statistical Science |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Inc |
| Year published | 2000-09-07 |
| Number of pages | 480 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |